CN108290499A - Driver assistance system with adaptive ambient enviroment image data processing function - Google Patents
Driver assistance system with adaptive ambient enviroment image data processing function Download PDFInfo
- Publication number
- CN108290499A CN108290499A CN201680068465.8A CN201680068465A CN108290499A CN 108290499 A CN108290499 A CN 108290499A CN 201680068465 A CN201680068465 A CN 201680068465A CN 108290499 A CN108290499 A CN 108290499A
- Authority
- CN
- China
- Prior art keywords
- image
- vehicle
- target
- region
- driver assistance
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012545 processing Methods 0.000 title claims abstract description 57
- 230000003044 adaptive effect Effects 0.000 title description 2
- 238000000034 method Methods 0.000 claims abstract description 32
- 238000001914 filtration Methods 0.000 claims description 15
- 238000012552 review Methods 0.000 claims description 14
- 238000013499 data model Methods 0.000 claims description 11
- 238000012546 transfer Methods 0.000 claims description 11
- 230000007613 environmental effect Effects 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims description 5
- 238000003786 synthesis reaction Methods 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 2
- 235000004522 Pentaglottis sempervirens Nutrition 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000003116 impacting effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002194 synthesizing effect Effects 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K35/00—Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
- B60K35/10—Input arrangements, i.e. from user to vehicle, associated with vehicle functions or specially adapted therefor
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K35/00—Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
- B60K35/20—Output arrangements, i.e. from vehicle to user, associated with vehicle functions or specially adapted therefor
- B60K35/28—Output arrangements, i.e. from vehicle to user, associated with vehicle functions or specially adapted therefor characterised by the type of the output information, e.g. video entertainment or vehicle dynamics information; characterised by the purpose of the output information, e.g. for attracting the attention of the driver
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K35/00—Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
- B60K35/20—Output arrangements, i.e. from vehicle to user, associated with vehicle functions or specially adapted therefor
- B60K35/29—Instruments characterised by the way in which information is handled, e.g. showing information on plural displays or prioritising information according to driving conditions
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
- B60R1/20—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
- B60R1/22—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle
- B60R1/23—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle with a predetermined field of view
- B60R1/27—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area outside the vehicle, e.g. the exterior of the vehicle with a predetermined field of view providing all-round vision, e.g. using omnidirectional cameras
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment
- H04N5/262—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects
- H04N5/2624—Studio circuits, e.g. for mixing, switching-over, change of character of image, other special effects ; Cameras specially adapted for the electronic generation of special effects for obtaining an image which is composed of whole input images, e.g. splitscreen
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K2360/00—Indexing scheme associated with groups B60K35/00 or B60K37/00 relating to details of instruments or dashboards
- B60K2360/143—Touch sensitive instrument input devices
- B60K2360/1438—Touch screens
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K2360/00—Indexing scheme associated with groups B60K35/00 or B60K37/00 relating to details of instruments or dashboards
- B60K2360/16—Type of output information
- B60K2360/176—Camera images
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K2360/00—Indexing scheme associated with groups B60K35/00 or B60K37/00 relating to details of instruments or dashboards
- B60K2360/16—Type of output information
- B60K2360/178—Warnings
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K2360/00—Indexing scheme associated with groups B60K35/00 or B60K37/00 relating to details of instruments or dashboards
- B60K2360/18—Information management
- B60K2360/191—Highlight information
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/10—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of camera system used
- B60R2300/105—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of camera system used using multiple cameras
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/30—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of image processing
- B60R2300/303—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of image processing using joined images, e.g. multiple camera images
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/30—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of image processing
- B60R2300/307—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of image processing virtually distinguishing relevant parts of a scene from the background of the scene
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/60—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by monitoring and displaying vehicle exterior scenes from a transformed perspective
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0043—Signal treatments, identification of variables or parameters, parameter estimation or state estimation
- B60W2050/0052—Filtering, filters
- B60W2050/0054—Cut-off filters, retarders, delaying means, dead zones, threshold values or cut-off frequency
- B60W2050/0055—High-pass filters
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0043—Signal treatments, identification of variables or parameters, parameter estimation or state estimation
- B60W2050/0052—Filtering, filters
- B60W2050/0054—Cut-off filters, retarders, delaying means, dead zones, threshold values or cut-off frequency
- B60W2050/0056—Low-pass filters
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/146—Display means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/403—Image sensing, e.g. optical camera
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2554/00—Input parameters relating to objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/001—Texturing; Colouring; Generation of texture or colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/90—Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Physics & Mathematics (AREA)
- Transportation (AREA)
- Automation & Control Theory (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Combustion & Propulsion (AREA)
- Chemical & Material Sciences (AREA)
- Human Computer Interaction (AREA)
- Data Mining & Analysis (AREA)
- Signal Processing (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Image Processing (AREA)
- Closed-Circuit Television Systems (AREA)
- Traffic Control Systems (AREA)
- Image Analysis (AREA)
- Instrument Panels (AREA)
Abstract
The present invention relates to a kind of for showing the driver assistance system of ambient enviroment image and a kind of corresponding method.The image of multiple video camera shooting ambient enviroments, described image are synthesized into the ambient enviroment image of vehicle-periphery in data processing unit.Self-adaptive processing is carried out to affiliated image-region (area-of-interest, ROI) at least one target in ambient enviroment image, such as by emphasizing.
Description
Technical field
The present invention relates to a kind of ambient enviroment images of vehicle-periphery used for vehicles to carry out image real time transfer
Method and apparatus.
Background technology
Vehicle, especially road vehicle have more and more to be driven to what driver was supported when executing traveling and acting
The person's of sailing auxiliary system.This kind of driver assistance system has the display device for the ambient enviroment image that its vehicle is shown to driver
Or display.The mode that such a ambient enviroment image can for example be got a bird's eye view shows the aphorama of the ambient enviroment around vehicle
Figure.In order to generate this ambient enviroment image, vehicle has the vehicle camera for providing camera review in the not homonymy of vehicle body.
The camera review synthesizes the ambient enviroment image or panoramic view of vehicle-periphery by data processing unit.With
Afterwards, the image synthesized by this is shown on the display unit of driver assistance system.
In many cases, in the vehicle-periphery of vehicle there are target or obstacle, such as building or other vehicles,
It causes to be distorted in shown ambient enviroment image.This kind of distortion can for example cause vehicle driver to miss traffic situation
Sentence, and thus when executing traveling action to impacting safely.
Invention content
Therefore, the purpose of the present invention is to, provide a kind of ambient enviroment image of vehicle-periphery used for vehicles into
The driver assistance system and method for row image real time transfer, wherein significantly avoided in shown ambient enviroment image
Or it eliminates and passes through image fault caused by target.
According to the present invention, the purpose is realized by the driver assistance system with feature described in claim 1.
Accordingly, the present invention provides a kind of driver assistance system for showing the ambient enviroment image of vehicle, described to drive
The person's of sailing auxiliary system includes vehicle camera, and the vehicle camera generates the camera review of the vehicle-periphery of vehicle;
And the driver assistance system includes data processing unit, and the data processing unit is taken the photograph what is generated by vehicle camera
Camera image synthesizes the ambient enviroment image of vehicle-periphery, wherein is included in ambient enviroment image at least one
Interior target carries out self-adaptive processing to affiliated image-region.
In the possible embodiment according to driver assistance system of the present invention, by synthesized environmental view
As being shown on the display unit of driver assistance system with processed image-region.
In another possible embodiment according to driver assistance system of the present invention, belong to the image-region of target
It is formed by polygon, the vertex of the polygon is the coordinate of the bidimensional of vehicle or the vehicle axis system of three-dimensional.
In another possible embodiment according to driver assistance system of the present invention, pass through the vehicle periphery of vehicle
The environment data model of environment determines the image-region for belonging to target.
In another possible embodiment according to driver assistance system of the present invention, by driver assistance system
User determines the image-region for belonging to target by user interface.
In another possible embodiment according to driver assistance system of the present invention, to belonging to the image district of target
Domain is filtered.
Image-region to belonging to target can for example carry out high-pass filtering or low-pass filtering.
In another possible embodiment according to driver assistance system of the present invention, with prespecified texture pair
The image-region for belonging to target is covered.
In another possible embodiment according to driver assistance system of the present invention, by means of the vehicle week of vehicle
The height profile identification detected with sensor in collarette border is included in the target in ambient enviroment image.
In another possible embodiment according to driver assistance system of the present invention, pass through data processing unit pair
Target in ambient enviroment image is classified, and by data processing unit according to the obtained classification pair of target
The image-region for belonging to respective objects then carries out adapting to image processing.
In another possible embodiment according to driver assistance system of the present invention, pass through driver assistance system
Data processing unit according to image-region to two dimension or three-dimensional vehicle coordinate system coordinate origin spacing to belonging to target
Image-region carries out adapting to image processing.
In addition, the present invention also provides a kind of vehicle periphery rings used for vehicles with feature described in claim 11
The method that the ambient enviroment image in border carries out image real time transfer.
Accordingly, the present invention provides a kind of ambient enviroment image progress image data of vehicle-periphery used for vehicles
The method of processing, this method comprises the following steps:The camera review generated by the vehicle camera of vehicle is synthesized into vehicle
Vehicle-periphery ambient enviroment image;Also, belong in synthesis ambient enviroment image at least one
The image-region of target executes adapting to image processing.
In the possible embodiment according to the method for the invention, by synthesized ambient enviroment image and different mesh
Image-region of the target through self-adaptive processing is shown on the display unit.
In another possible embodiment according to the method for the invention, belong to the image-region of target by polygon shape
At the vertex of the polygon is formed by the bidimensional of vehicle or the coordinate of three-dimensional vehicle coordinate system.
In another possible embodiment according to the method for the invention, pass through the environment of the vehicle-periphery of vehicle
Data model determines the image-region for belonging to target.
In another possible embodiment according to the method for the invention, use is passed through by the user of driver assistance system
Family interface determines the image-region for belonging to target.
In another possible embodiment according to the method for the invention, the image-region to belonging to target is filtered
Wave especially carries out high-pass filtering or low-pass filtering.
In another possible embodiment according to the method for the invention, with prespecified affiliated texture to belonging to mesh
Target image-region is covered.
In another possible embodiment according to the method for the invention, by means of the use of the vehicle-periphery of vehicle
The height profile identification of sensor detection is included in the target in ambient enviroment image.
In another possible embodiment according to the method for the invention, first in ambient enviroment image
Target is classified.
In another possible embodiment according to the method for the invention, according to the obtained classification of target to belonging to
The image-region of target carries out adapting to image processing.
In another possible embodiment according to the method for the invention, according to image-region or said target to vehicle
Bidimensional or three-dimensional vehicle coordinate system coordinate origin spacing to belong to target image-region carry out adapting to image processing.
Description of the drawings
In addition, will be to according to the method for the invention and according to driver assistance system of the present invention in conjunction with following attached drawing
The possible embodiment of system is described further.Wherein:
Fig. 1 block diagrams, for describing the driver assistance system according to the present invention for showing ambient enviroment image
Embodiment;
Fig. 2 explanatory views, for explaining that the ambient enviroment image of vehicle-periphery used for vehicles carries out image
Data processing according to driver assistance system of the present invention and according to the operation principle of the method for the invention.
Fig. 3 simple flow charts, the embodiment for describing the method according to the present invention for image real time transfer.
Specific implementation mode
Fig. 1 shows a block diagram, for describing the driving according to the present invention for showing vehicle-periphery image
The exemplary embodiment of member's auxiliary system 1.Driver assistance system 1 shown in Fig. 1 for example can be such as the schematic institute in top in Fig. 2
Show and is arranged in road vehicle.In the embodiment shown in fig. 1, the vehicle have multiple vehicle cameras or optical sensor 2-1,
2-2,2-3 and 2-4, they are installed in the not homonymy of the vehicle body of vehicle.Set vehicle camera quantity may be because of difference
Vehicle and it is different.In a kind of possible embodiment, vehicle has four vehicles for being arranged on vehicle body not homonymy
Video camera.Here, it is preferred that a vehicle camera is respectively set in every side of vehicle body, that is, the first vehicle camera 2-1 settings
In vehicle body front side, the second vehicle camera 2-2 is arranged on the left of vehicle body, and third vehicle camera 2-3 is arranged on the right side of vehicle body, the
Four vehicle camera 2-4 are arranged in vehicle body back side.Different vehicle video camera 2-i continuously provides the video camera figure of vehicle-periphery
Picture, these camera reviews are transferred to the data processing list of driver assistance system 1 by signal wire 3-1,3-2,3-3,3-4
Member 4.In a possible embodiment, vehicle camera 2-i has data encoder, to make camera review to encode shape
Formula is transferred to data processing unit 4 by signal wire 3-i.In a possible embodiment, there are one the tools of data processing unit 4
Or multiple processors for image real time transfer.Data processing unit 4 is received, derived from vehicle camera 2-i
Camera review continuously synthesizes an ambient enviroment image of the vehicle-periphery of vehicle.Here, for being included in surrounding ring
At least one of border image target carries out self-adaptive processing to affiliated image-region.Affiliated image-region ROI (region of interest
Domain) pass through the progress adapting to image processing of data processing unit 4.By the week for the vehicle-periphery that data processing unit 4 synthesizes
Ambient image is enclosed to be displayed on the display unit 5 of driver assistance system 1 with processed image-region contained therein.
The image-region ROI for belonging to target is preferably formed by a polygon with multiple vertex.For example, polygon
Can be tool there are four vertex quadrangle or tool there are three vertex triangle.Wherein, the vertex of polygon is preferably by vehicle
The coordinate of vehicle axis system formed.As schematically illustrated in Figure 2, the vehicle axis system preferably its coordinate origin KUP is in vehicle F
Center.Fig. 2 shows the two-dimentional vehicle axis systems with the first vehicle coordinate x and the second vehicle coordinate y.It is preferably replaced one
In generation selection embodiment, the vehicle axis system of vehicle F may also comprise the three-dimensional vehicle coordinate having there are three vehicle coordinate x, y, z
System.
In the possible embodiment according to driver assistance system 1 of the present invention, belong to the image-region of target
ROI is determined by the environment data model of the vehicle-periphery of vehicle.For example, the environment data model passes through environmental data mould
Type generator 6 generates.For this purpose, environment data model generator 6 is connected at least one environmental data sensor 7, such as ultrasound
On wave sensor.These sensors provide the data in terms of the height profile of the vehicle-periphery of vehicle.For example, conduct
Target or vehicle obstacle identification kerbstone or building and acquire target relative to reference level, such as road level surface with
The height that approach sensor acquires.Environment data model generator 6 generates an environmental data by the sensing data received
Model, wherein data processing unit 4 identifies the mesh in synthesized ambient enviroment image according to generated environment data model
Mark, and determine or calculate the image-region for belonging to identified target in ambient enviroment image.
Alternatively, the image-region for belonging to target can be auxiliary by driver by the user of driver assistance system 1
The user interface 8 of auxiliary system 1 determines or selection.In a possible embodiment, driver assistance system 1 has for showing
Through synthesizing the touch-screen display 5 of processed ambient enviroment image, including one be integrated in for selecting surrounding ring
The user interface of image-region ROI in the image of border.
In the possible embodiment according to driver assistance system 1 of the present invention, to belonging to the image district of target
Domain ROI is filtered automatically, such as carries out high-pass filtering or low-pass filtering.To the week through synthesis in identified image-region
The image data filtering for enclosing ambient image is carried out according to adapting to image Processing Algorithm by data processing unit 4.
In an embodiment alternatively, it is also possible to which prespecified Texture mapping belongs to the image district of target
Domain.In a possible embodiment, user can configure or be selected from one group of prespecified texture corresponding texture.
In the alternatively possible embodiment according to driver assistance system 1 of the present invention, to being included in surrounding ring
Target, such as building or trees in the image of border are classified, then according to obtained target category to belonging to target
Image-region carries out adapting to image processing.In another possible embodiment according to driver assistance system 1 of the present invention
In, by data processing unit 4 according to the spacing of the vehicle axis system coordinate origin KUP in respective image region to corresponding vehicle F
Image-region ROI to belonging to target carries out adapting to image processing.For example, to the image-region far from coordinate origin KOP
ROI, using the image data processing algorithm different from the image-region ROI closer to vehicle axis system coordinate origin KUP.
Fig. 2 is used to explain for the ambient enviroment image progress image real time transfer to vehicle-periphery according to this hair
The bright driver assistance system 1 and the operation principle according to the method for the invention.It is diagrammatically illustrated with basis in Fig. 2
The vehicle F of driver assistance system 1 of the present invention.At the center of vehicle F, such as road vehicle, there are a two dimension or three
Tie up the coordinate origin KUP of vehicle axis system.In the illustrated example shown in fig. 2, there are different mesh in the vehicle-periphery of vehicle F
Mark OBJ1, OBJ2, OBJ3, OBJ4.Target OBJ1 is, for example, the building in the vehicle-periphery of vehicle F.Target OBJ2
It is in the trees of the left fronts vehicle F in this way.In addition, also showing the mobile target OBJ3 of pedestrian's form in fig. 2.Most
Afterwards, the 4th target OBJ4 is shown in FIG. 2, this is triangle obstacle, such as isolating device or the like.To different target
One of arbitrary image-region ROI1, ROI2, ROI3, the ROI4 all determined belonging to one of OBJ1, OBJ2, OBJ3, OBJ4.Affiliated figure
As region acquire or the environment data model generated based on vehicle-periphery carries out automatically, or it is auxiliary by driver
The user of auxiliary system 1 is carried out manually by the input of user interface 8.In another possible embodiment, affiliated image-region portion
Divide ground determining based on environment data model and is partly inputted by user interface 8 by user.In vehicle-periphery
Target may include fixed target, such as building, trees or isolating device, but may also comprise movable target, such as vehicle F
Vehicle-periphery in pedestrian or other vehicles.Affiliated image-region ROI can surround related objective, such as image-region
ROI2, ROI3 and ROI4, or related objective also can be only partly covered, such as image-region ROI1.According to institute of the present invention
In the preferred embodiment for stating driver assistance system 1, affiliated image-region ROI is by the polygon shape with multiple angles or vertex
At the angle or the coordinate that vertex is two dimension or three-dimensional vehicle coordinate system.The image-region of polygon is for example polygon including two dimension
Two, three, four or multiple vertex of shape or planar polygons body.In a possible preferred embodiment, by corresponding mesh
The vertex quantity or shape of mark export polygon or polygonal body.In a possible embodiment, in ambient enviroment image
Included target OBJ classifies.For example, in the example shown, target OBJ2 is classified as trees.In addition, for example by target
OBJ1 is classified as entity building.In a possible embodiment, it can be exported according to the obtained classification of target OBJ affiliated
The shape of image-region.For example, if target OBJ4 is classified as triangle isolator, the affiliated image district of triangle is acquired
Domain ROI4.For image real time transfer according to driver assistance system 1 of the present invention and according to the method for the invention
Another preferred embodiment in, also according to obtained target OBJ classifications by data processing unit 4 to belonging to target OBJ
Image-region ROI carry out adapting to image processing.For example, to the image-region for the target trees (target OBJ2) classified
The first image data processing algorithm can be used in ROI2, and the image-region ROI3 of the target OBJ3 (pedestrian) to being classified is using another
A kind of image data processing algorithm.For example, the image-region ROI2 of target OBJ2 (trees) can be carried out by data processing unit 4
High-pass filtering, and the target OBJ3 (pedestrian) to be classified is low pass filtering.In addition, for example, being classified as the target of building
OBJ1 can be used affiliated building texture to be covered, for example, drawing red shade etc..Different texture can distribute to different targets
Type or target category.For example, in a possible embodiment, the data processing unit 4 of driver assistance system 1 accesses configuration
Data storage is assigned with different texture pattern or grain surface in the configuration data memory to different target type.
In another possible embodiment, the user of driver assistance system 1 can be directed to different target by user interface 8 and carry out texture
The configuration suitable for the different target of pattern and/or image-region algorithm.
For image real time transfer according to driver assistance system 1 of the present invention and according to the method for the invention
Another possible embodiment in, according to respective image region to the spacing of vehicle axis system coordinate origin KUP, to belonging to target
The image-region ROI of OBJ carries out adapting to image processing.For example, by being used closer to the image-region ROI4 of coordinate origin KUP
It is disposed from apart from the first different image data processing algorithms of the slightly remote image-region ROI1 of target OBJ1 (building).
In a possible embodiment, a target, such as target OBJ3 (pedestrian) can be moved in the coordinate system of vehicle, wherein phase
Answer target OBJ close to the coordinate origin KUP of vehicle axis system or coordinate origin KUP far from vehicle axis system.
In a possible embodiment according to the method for the invention and according to driver assistance system 1 of the present invention, calculating belongs to
Spacing between the central point M and coordinate origin KUP of the image-region ROI of movable target or distance D.Then preferably according to institute
The space D of calculating carries out the image real time transfer for the image data being included in affiliated image-region ROI4.If in the traveling phase
Between vehicle F moved relative to fixed target, such as building, then can Continuous plus to respective image region central point M this
Class space D, to be switched between different images Processing Algorithm according to the calculated space D of institute.The vehicle camera 2- of vehicle F
The stream of camera review or picture frame is supplied to the data processing unit 4 of driver assistance system 1 by i.It may embodiment party one
In formula, the affiliated image-region ROI of a target OBJ images the data processing unit 4 of driver assistance system 1 from vehicle
Each new image frame in picture frame sequence that machine 2-i is obtained all changes.
Vehicle F with driver assistance system 1 can be the road vehicle in road traffic.In addition, in industry manufacture
Movable vehicle also equipped with this kind of driver assistance system 1.There are more application possibilities in medical field.By video camera
Image data that image provides or camera review synthesize an ambient enviroment image through synthesis, such as with so-called splicing
360 degree of panoramas, wherein camera review is preferably projected in the perspective plane for display, especially two-dimentional bottom surface or three-dimensional plate
On shape perspective plane.It is preferred that according in vehicle coordinate origin to vehicle-periphery said target or obstacle it is obtained away from
From practicing image data processing algorithm, such as high-pass filtering or low-pass filtering in different images region.
It is a simple flow chart shown in Fig. 3, for describing the environmental view for the vehicle-periphery to vehicle F
The embodiment according to the method for the invention as carrying out image real time transfer.
In first step S1, the vehicle of vehicle will be synthesized derived from the camera review of the different vehicle video camera of vehicle
The ambient enviroment image of ambient enviroment.Then, in step s 2, belong to included in synthesis ambient enviroment image at least one
The image-region of interior target carries out adapting to image data processing.Method shown in Fig. 3 is for example by driver assistance system 1
The processor of image data processing unit 4 is implemented.
Claims (17)
1. a kind of driver assistance system (1), the ambient enviroment image for showing vehicle, the driver assistance system include
Vehicle camera (2), the vehicle camera generate the camera review of the vehicle-periphery of vehicle (F);And include
Data processing unit (4), the data processing unit synthesize the camera review generated by vehicle camera (2)
The ambient enviroment image of vehicle-periphery, wherein at least one target in ambient enviroment image to affiliated
Image-region (ROI) carries out self-adaptive processing.
2. driver assistance system according to claim 1, wherein by synthesized ambient enviroment image with it is processed
Image-region is shown on the display unit (5) of driver assistance system (1).
3. driver assistance system according to claim 1 or 2, wherein belong to the image-region (ROI) of target by polygon
Shape is formed, and the vertex of the polygon is the coordinate of the vehicle axis system of vehicle (F).
4. the driver assistance system according to any claim in the claims 1 to 3, wherein pass through vehicle
The environment data model of vehicle-periphery determines the image-region (ROI) for belonging to target.
5. the driver assistance system according to any claim in the claims 1 to 3, wherein auxiliary by driver
The user of auxiliary system (1) determines the image-region (ROI) for belonging to target by user interface.
6. the driver assistance system according to any claim in the claims 1 to 5, wherein to belonging to target
Image-region (ROI) be filtered, especially carry out high-pass filtering or low-pass filtering.
7. the driver assistance system according to any claim in the claims 1 to 5, wherein with prespecified
Affiliated texture the image-region (ROI) for belonging to target is covered.
8. the driver assistance system according to any claim in the claims 1 to 7, wherein by means of vehicle
(F) the height profile identification of vehicle-periphery detected with sensor is included in the target in ambient enviroment image.
9. the driver assistance system according to any claim in the claims 1 to 8, wherein to being included in week
The target enclosed in ambient image is classified, and by data processing unit (4) according to the classification of target to belonging to the figure of target
As region carries out adapting to image processing.
10. the driver assistance system according to any claim in the claims 1 to 9, wherein at data
Reason unit (4) is according to the spacing of image-region and/or target to the coordinate origin (KUP) of vehicle axis system to belonging to the figure of target
As region carries out adapting to image processing.
11. the method that a kind of ambient enviroment image of vehicle-periphery used for vehicles carries out image real time transfer, including
Following steps:
(a) camera review generated by the vehicle camera of vehicle is synthesized around the vehicle-periphery that (S1) is vehicle
Ambient image;And
(b) (S2) is executed for the image-region (ROI) of at least one target belonged in synthesis ambient enviroment image
Adapting to image processing.
12. according to the method for claim 11, wherein the image-region for belonging to target is formed by polygon, described polygon
The vertex of shape is formed by the coordinate of the vehicle axis system of vehicle.
13. method according to claim 11 or 12, wherein pass through the environment data model of the vehicle-periphery of vehicle
Or the image-region for belonging to target is determined by user interface by the user of driver assistance system.
14. the method according to any claim in the claims 11 to 12, wherein to belonging to the image district of target
Domain is filtered, and especially carries out high-pass filtering or low-pass filtering, or with prespecified affiliated texture to belonging to the figure of target
As region is covered.
15. the method according to any claim in the claims 11 to 14, wherein by means of the vehicle week of vehicle
The height profile identification detected with sensor in collarette border is included in the target in ambient enviroment image.
16. the method according to any claim in the claims 11 to 15, wherein to being included in environmental view
Target as in is classified, and carries out adapting to image processing to the image-region for belonging to target according to the classification of target.
17. the method according to any claim in the claims 11 to 16, wherein according to image-region or target
Spacing to the coordinate origin of the vehicle axis system of vehicle carries out adapting to image processing to the image-region for belonging to target.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102015223175.5 | 2015-11-24 | ||
DE102015223175.5A DE102015223175A1 (en) | 2015-11-24 | 2015-11-24 | Driver assistance system with adaptive environment image data processing |
PCT/DE2016/200493 WO2017088865A1 (en) | 2015-11-24 | 2016-10-26 | Driver assistance system featuring adaptive processing of image data of the surroundings |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108290499A true CN108290499A (en) | 2018-07-17 |
CN108290499B CN108290499B (en) | 2022-01-11 |
Family
ID=57345632
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201680068465.8A Active CN108290499B (en) | 2015-11-24 | 2016-10-26 | Driver assistance system with adaptive ambient image data processing |
Country Status (6)
Country | Link |
---|---|
US (1) | US20180322347A1 (en) |
EP (1) | EP3380357B1 (en) |
JP (1) | JP2019504382A (en) |
CN (1) | CN108290499B (en) |
DE (2) | DE102015223175A1 (en) |
WO (1) | WO2017088865A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112140997A (en) * | 2020-09-29 | 2020-12-29 | 的卢技术有限公司 | Control method and system of visual driving system supporting control, automobile and storage medium |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101844885B1 (en) * | 2016-07-11 | 2018-05-18 | 엘지전자 주식회사 | Driver Assistance Apparatus and Vehicle Having The Same |
WO2022154342A1 (en) * | 2021-01-12 | 2022-07-21 | Samsung Electronics Co., Ltd. | Methods and electronic device for processing image |
Citations (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1595429A (en) * | 2003-09-08 | 2005-03-16 | 日本先锋公司 | Image-processing device, its method, its program and recording medium storing the program |
US7072525B1 (en) * | 2001-02-16 | 2006-07-04 | Yesvideo, Inc. | Adaptive filtering of visual image using auxiliary image information |
DE102005000775A1 (en) * | 2005-01-05 | 2006-07-13 | Lear Corporation Gmbh & Co. Kg | Driver assistance system for automobiles for obstruction identification reduces amount of data processing for increased speed |
EP1830320A1 (en) * | 2004-12-24 | 2007-09-05 | National University Corporation Yokohama National University | Image processor |
CN101079949A (en) * | 2006-02-07 | 2007-11-28 | 索尼株式会社 | Image processing apparatus and method, recording medium, and program |
CN101300575A (en) * | 2005-10-31 | 2008-11-05 | 索尼英国有限公司 | Image processing |
JP2009229435A (en) * | 2008-03-24 | 2009-10-08 | Yakugun En | Portable digital photographing system combining position navigation information and image information |
CN101903906A (en) * | 2008-01-07 | 2010-12-01 | 松下电器产业株式会社 | Image transformation method, image display method, image transformation apparatus and image display apparatus |
CN102004897A (en) * | 2009-08-31 | 2011-04-06 | 索尼公司 | Apparatus, method, and program for processing image |
US20110248988A1 (en) * | 2010-04-12 | 2011-10-13 | Samsung Electronics Co., Ltd. | Image converting device and three dimensional image display device including the same |
WO2012068085A2 (en) * | 2010-11-19 | 2012-05-24 | Analog Devices, Inc. | Component filtering for low-light noise reduction |
KR20120098107A (en) * | 2011-02-28 | 2012-09-05 | 삼성전기주식회사 | System and method for assisting a driver |
CN103140377A (en) * | 2010-08-12 | 2013-06-05 | 法雷奥开关和传感器有限责任公司 | Method for displaying images on a display device and driver assistance system |
CN103328261A (en) * | 2010-11-12 | 2013-09-25 | 法雷奥开关和传感器有限责任公司 | Method for generating an image of the surroundings of a vehicle and imaging device |
CN103583041A (en) * | 2011-06-07 | 2014-02-12 | 罗伯特·博世有限公司 | Vehicle camera system and method for providing a continuous image of the vehicle surroundings |
US8755614B1 (en) * | 2006-12-21 | 2014-06-17 | Marvell International Ltd. | Method and apparatus for processing an image with an enhanced JPEG decoder for decoding a region of interest |
WO2014122928A1 (en) * | 2013-02-08 | 2014-08-14 | 株式会社デンソー | Image processing apparatus |
CN104228683A (en) * | 2013-06-14 | 2014-12-24 | 奥迪股份公司 | Method for operating a driver assist system for maneuvering and/or parking a motor vehicle |
JP2015075966A (en) * | 2013-10-09 | 2015-04-20 | 富士通株式会社 | Image processing device, image processing method and program |
CN104584541A (en) * | 2012-08-30 | 2015-04-29 | 富士通天株式会社 | Image generating apparatus, image displaying system, parameter acquiring apparatus, image generating method, and parameter acquiring method |
CN104903946A (en) * | 2013-01-09 | 2015-09-09 | 三菱电机株式会社 | Vehicle periphery display device |
WO2015152304A1 (en) * | 2014-03-31 | 2015-10-08 | エイディシーテクノロジー株式会社 | Driving assistance device and driving assistance system |
Family Cites Families (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5179441A (en) * | 1991-12-18 | 1993-01-12 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Near real-time stereo vision system |
JP3206414B2 (en) * | 1996-01-10 | 2001-09-10 | トヨタ自動車株式会社 | Vehicle type identification device |
DE19852631C2 (en) * | 1998-11-14 | 2001-09-06 | Daimler Chrysler Ag | Device and method for traffic sign recognition |
DE10313001A1 (en) * | 2003-03-24 | 2004-10-14 | Daimlerchrysler Ag | Method for imaging different image data on a vehicle display |
DE102004057296A1 (en) * | 2004-11-26 | 2006-06-08 | Daimlerchrysler Ag | Lane departure warning with distinction between lane markings and the construction boundary of the lane |
JP5397373B2 (en) * | 2008-05-29 | 2014-01-22 | 富士通株式会社 | VEHICLE IMAGE PROCESSING DEVICE AND VEHICLE IMAGE PROCESSING METHOD |
DE102009020328A1 (en) * | 2009-05-07 | 2010-11-11 | Bayerische Motoren Werke Aktiengesellschaft | A method for displaying differently well visible objects from the environment of a vehicle on the display of a display device |
KR20140031369A (en) * | 2011-06-17 | 2014-03-12 | 로베르트 보쉬 게엠베하 | Method and device for assisting a driver in performing lateral guidance of a vehicle on a carriageway |
US9998659B2 (en) * | 2012-03-01 | 2018-06-12 | Geo Semiconductor Inc. | Method and system for adaptive perspective correction of ultra wide-angle lens images |
US9743002B2 (en) * | 2012-11-19 | 2017-08-22 | Magna Electronics Inc. | Vehicle vision system with enhanced display functions |
JP6344638B2 (en) * | 2013-03-06 | 2018-06-20 | 株式会社リコー | Object detection apparatus, mobile device control system, and object detection program |
DE102013213039A1 (en) * | 2013-07-03 | 2015-01-08 | Continental Automotive Gmbh | Assistance system and assistance method for assisting in the control of a motor vehicle |
DE102013220662A1 (en) * | 2013-10-14 | 2015-04-16 | Continental Teves Ag & Co. Ohg | Method for detecting traffic situations during the operation of a vehicle |
DE102013018924A1 (en) * | 2013-11-13 | 2015-05-13 | Audi Ag | Method for controlling an actuator |
CN103714573B (en) * | 2013-12-16 | 2017-06-06 | 华为技术有限公司 | A kind of method and device for generating virtual view |
US9373046B2 (en) * | 2014-09-10 | 2016-06-21 | Continental Automotive Systems, Inc. | Detection system for color blind drivers |
US10176543B2 (en) * | 2015-01-13 | 2019-01-08 | Sony Corporation | Image processing based on imaging condition to obtain color image |
US10040394B2 (en) * | 2015-06-17 | 2018-08-07 | Geo Semiconductor Inc. | Vehicle vision system |
US9950669B2 (en) * | 2015-11-12 | 2018-04-24 | Robert Bosch Gmbh | Vehicle camera system with multiple-camera alignment |
-
2015
- 2015-11-24 DE DE102015223175.5A patent/DE102015223175A1/en not_active Withdrawn
-
2016
- 2016-10-26 US US15/773,224 patent/US20180322347A1/en not_active Abandoned
- 2016-10-26 CN CN201680068465.8A patent/CN108290499B/en active Active
- 2016-10-26 JP JP2018526582A patent/JP2019504382A/en active Pending
- 2016-10-26 DE DE112016004028.8T patent/DE112016004028A5/en not_active Withdrawn
- 2016-10-26 EP EP16797730.5A patent/EP3380357B1/en active Active
- 2016-10-26 WO PCT/DE2016/200493 patent/WO2017088865A1/en active Application Filing
Patent Citations (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7072525B1 (en) * | 2001-02-16 | 2006-07-04 | Yesvideo, Inc. | Adaptive filtering of visual image using auxiliary image information |
CN1595429A (en) * | 2003-09-08 | 2005-03-16 | 日本先锋公司 | Image-processing device, its method, its program and recording medium storing the program |
EP1830320A1 (en) * | 2004-12-24 | 2007-09-05 | National University Corporation Yokohama National University | Image processor |
DE102005000775A1 (en) * | 2005-01-05 | 2006-07-13 | Lear Corporation Gmbh & Co. Kg | Driver assistance system for automobiles for obstruction identification reduces amount of data processing for increased speed |
CN101300575A (en) * | 2005-10-31 | 2008-11-05 | 索尼英国有限公司 | Image processing |
CN101079949A (en) * | 2006-02-07 | 2007-11-28 | 索尼株式会社 | Image processing apparatus and method, recording medium, and program |
US8755614B1 (en) * | 2006-12-21 | 2014-06-17 | Marvell International Ltd. | Method and apparatus for processing an image with an enhanced JPEG decoder for decoding a region of interest |
CN101903906A (en) * | 2008-01-07 | 2010-12-01 | 松下电器产业株式会社 | Image transformation method, image display method, image transformation apparatus and image display apparatus |
JP2009229435A (en) * | 2008-03-24 | 2009-10-08 | Yakugun En | Portable digital photographing system combining position navigation information and image information |
CN102004897A (en) * | 2009-08-31 | 2011-04-06 | 索尼公司 | Apparatus, method, and program for processing image |
US20110248988A1 (en) * | 2010-04-12 | 2011-10-13 | Samsung Electronics Co., Ltd. | Image converting device and three dimensional image display device including the same |
CN103140377A (en) * | 2010-08-12 | 2013-06-05 | 法雷奥开关和传感器有限责任公司 | Method for displaying images on a display device and driver assistance system |
CN103328261A (en) * | 2010-11-12 | 2013-09-25 | 法雷奥开关和传感器有限责任公司 | Method for generating an image of the surroundings of a vehicle and imaging device |
WO2012068085A2 (en) * | 2010-11-19 | 2012-05-24 | Analog Devices, Inc. | Component filtering for low-light noise reduction |
KR20120098107A (en) * | 2011-02-28 | 2012-09-05 | 삼성전기주식회사 | System and method for assisting a driver |
CN103583041A (en) * | 2011-06-07 | 2014-02-12 | 罗伯特·博世有限公司 | Vehicle camera system and method for providing a continuous image of the vehicle surroundings |
CN104584541A (en) * | 2012-08-30 | 2015-04-29 | 富士通天株式会社 | Image generating apparatus, image displaying system, parameter acquiring apparatus, image generating method, and parameter acquiring method |
CN104903946A (en) * | 2013-01-09 | 2015-09-09 | 三菱电机株式会社 | Vehicle periphery display device |
WO2014122928A1 (en) * | 2013-02-08 | 2014-08-14 | 株式会社デンソー | Image processing apparatus |
CN104228683A (en) * | 2013-06-14 | 2014-12-24 | 奥迪股份公司 | Method for operating a driver assist system for maneuvering and/or parking a motor vehicle |
JP2015075966A (en) * | 2013-10-09 | 2015-04-20 | 富士通株式会社 | Image processing device, image processing method and program |
WO2015152304A1 (en) * | 2014-03-31 | 2015-10-08 | エイディシーテクノロジー株式会社 | Driving assistance device and driving assistance system |
Non-Patent Citations (3)
Title |
---|
ANDREA FROME等: "Large-scale Privacy Protection in Google Street View", 《2009 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)》 * |
刘李漫等: "融合多高斯混合模型与Graph Cuts优化技术的目标自动检测方法", 《中国体视学与图像分析》 * |
王晓: "基于梯度距离的新闻镜头检测算法", 《计算机应用与软件》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112140997A (en) * | 2020-09-29 | 2020-12-29 | 的卢技术有限公司 | Control method and system of visual driving system supporting control, automobile and storage medium |
Also Published As
Publication number | Publication date |
---|---|
EP3380357B1 (en) | 2021-09-29 |
DE112016004028A5 (en) | 2018-05-24 |
JP2019504382A (en) | 2019-02-14 |
EP3380357A1 (en) | 2018-10-03 |
WO2017088865A1 (en) | 2017-06-01 |
CN108290499B (en) | 2022-01-11 |
DE102015223175A1 (en) | 2017-05-24 |
US20180322347A1 (en) | 2018-11-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP6687204B2 (en) | Projection image generation method and apparatus, and mapping method between image pixels and depth values | |
JP6311020B2 (en) | Image composition system, image composition apparatus and image composition method therefor | |
JP4966431B2 (en) | Image processing device | |
JP6766844B2 (en) | Object identification device, mobile system, object identification method, object identification model learning method and object identification model learning device | |
CN106056534B (en) | Intelligent glasses-based method and device for perspective of shelters | |
KR101265667B1 (en) | Device for 3d image composition for visualizing image of vehicle around and method therefor | |
JP5676092B2 (en) | Panorama image generation method and panorama image generation program | |
JP5574852B2 (en) | Information processing apparatus, information processing method, system, and program | |
JP6522630B2 (en) | Method and apparatus for displaying the periphery of a vehicle, and driver assistant system | |
KR20180070571A (en) | Systems and methods for generating image visualization | |
CN103207664A (en) | Image processing method and equipment | |
CN111582080A (en) | Method and device for realizing 360-degree all-round monitoring of vehicle | |
JP2017174125A (en) | Information processing apparatus, information processing system, and information processing method | |
JP6820561B2 (en) | Image processing device, display device, navigation system, image processing method and program | |
CN107438538A (en) | For the method for the vehicle-periphery for showing vehicle | |
JP2013024662A (en) | Three-dimensional range measurement system, three-dimensional range measurement program and recording medium | |
CN108290499A (en) | Driver assistance system with adaptive ambient enviroment image data processing function | |
JP2020052979A (en) | Information processing device and program | |
CN107851304A (en) | Panel converts | |
JP2011210087A (en) | Vehicle circumference monitoring device and vehicle circumference monitoring method | |
CN110096144B (en) | Interactive holographic projection method and system based on three-dimensional reconstruction | |
JP2019067149A (en) | Periphery monitoring device and periphery monitoring method of vehicle | |
WO2019150431A1 (en) | Information processing device | |
CN117392423A (en) | Laser radar-based true value data prediction method, device and equipment for target object | |
CN108701349A (en) | Show the method and apparatus and corresponding vehicle of vehicle-periphery front view |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right | ||
TR01 | Transfer of patent right |
Effective date of registration: 20240412 Address after: Ingolstadt, Germany Patentee after: Continental Zhixing Germany Co.,Ltd. Country or region after: Germany Address before: Nuremberg, Germany Patentee before: CONTI TEMIC MICROELECTRONIC GmbH Country or region before: Germany |